README

*UPDATE: 3/14/23*
We identified several errors in the original replication data and code. We have issued a corrigendum and updated the data and code on the Dataverse to correct the errors. The original replication data and code used a raw variable in the experimental analysis that overstated variance instead of the transformed version of the variable. This altered the p-value of the experimental conditions. The experimental conditions were also improperly labelled in the dataset. Please see the corrigendum for further details. As of 3/14/23, the data and code use the transformed variable and clear labels.Dr.s Dana El Kurd and Calla Hummel launched the Graduate Student Satisfaction Survey (GSSS) in early 2022. The researchers emailed the survey to all graduate students enrolled in fall 2021 in the top 50 Political Science PhD programs in the United States (as ranked by U.S. News). 270 graduate students filled out the survey.The survey asked 60 questions about student demographics, funding, experiences with harassment and exploitation, advising, and goals. The original survey data, while anonymous, was not anonymized; the open-ended responses and demographic data that students provided could potentially identify individual students. For example, students related harassment experiences in detail that could identify a particular student to their department or peers. Similarly, program, race, gender, age, country of origin and more could identify some students to others. For example, many Black or trans students are the only Black or trans student in their program and survey data on race or gender would identify them to their peers. Additionally, some data could be used in combination to identify students.To protect student confidentiality, only the research team has access to the full original data. The original data include all variables used in the analyses in the study publication published in the journal PS. The public dataset that accompanies the article has been fully anonymized, meaning that the researchers removed identifying and potentially identifying data such as program, race, gender, age, country of origin, and all open-ended responses.